ENGLISH ABSTRACT : Blurred images can be restored using known deconvolution methods. Image
blur can be caused by various factors during the image acquisition phase, such
as camera defocus or motion. The restoration of blurred images is further
complicated by the addition of possible electronic noise.
In this report we propose a direct method where the kernel is estimated by
nding possible edges in the blurred image using edge detection. A sinogram of
the blur kernel is obtained by sampling and then di erentiating across edges
in the image for a su cient number of edge orientations. This sinogram is
then improved by making use of a sinogram interpolation technique. The
application of the inverse Radon transform then yields the kernel which is
used to restore the image.